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AI Agents
Learning Outcomes
- Understanding different types of AI agents
- Implementing memory and planning systems
- Integrating function calling and external tools
- Building AI agents across various business functions and industries
Ref - System of Agents
AI agents come in various forms, each uniquely designed to handle specific tasks and levels of autonomy. Here’s a breakdown of different AI agent types, emphasizing their scope of work, capabilities, feasibility, and automation level.
All about AI Agents
- Anatomy of AI Agents
- Types of AI Agents
- Building AI Agents
- Effective AI Agents
- Use Cases
- Agent Tools Comparison
- Notes
- Agentic Document Workflow (ADW)
- Further Reading
Resources
AI Agent Architecture & Anatomy
- LLM agents
- Build an AI Agent with N8N and Pinecone
- Maximizing the Potential of LLMs
- Claude Now Supports Tool Use
- Tool Use in Claude
Agent Frameworks & Implementation
Best Practices & Guidelines
Advanced Topics
- Agent Memory & Planning - https://www.pinecone.io/learn/series/langchain/langchain-agents/
- Agent Orchestration - https://www.ruxu.dev/articles/ai/maximizing-the-potential-of-llms/